Adaptive noise reduction toward low-dose computed tomography

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5030 II, Issue , 2003, Pages 759-766

  Lu, Hongbing ^a,d   Li, Xiang ^a   Li, Lihong ^a   Chen, Dongqin ^b   Xing, Yuxiang ^a   Hsieh, Jiang ^c   Liang, Zhengrong ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b Viatronix Inc   (United States)

^c GE MEDICAL SYSTEMS   (United States)

^d FOURTH MILITARY MEDICAL UNIVERSITY   (China)

Author keywords

Adaptive filtering; Computed tomography; Dose reduction; Edge preserving smoothing; Noise reduction; Nonstationary noise; Streak artifacts

Indexed keywords

ADAPTIVE FILTERING; COMPUTERIZED TOMOGRAPHY; DIAGNOSIS; IMAGE RECONSTRUCTION; NOISE ABATEMENT; PHOTONS; SCANNING; SIGNAL FILTERING AND PREDICTION; SPURIOUS SIGNAL NOISE;

STREAK ARTIFACTS;

MEDICAL IMAGING;

EID: 0042376202     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.480374     Document Type: Conference Paper

References (29)

1. G.F. Rust, V. Aurich and M. Reiser (2002), "Noise/dose reduction and image improvements in screening virtual colonoscopy with tube currents of 20 mAs with nonlinear Gaussian filter chains", SPIE Medical Imaging, 4683: 186-197.
2. M.F. Kijewski and P.F. Judy (1987), "The noise power spectrum of CT images", Physics in Medicine and Biology, 32: 565-575.
3. S.J. Riederer, N.J. Pelc and D.A. Chesler (1978), "The noise power spectrum in computed x-ray tomography", Physics in Medicine and Biology, 23: 446-454.
4. K. Sauer and B. Liu (1991), "Non-stationary filtering of transmission tomograms in high photon counting noise", IEEE Trans. Med. Imaging, 10: 445-452.
5. J. Hsieh (1998), "Adaptive streak artifacts reduction in computed tomography resulting from excessive x-ray photon noise", Medical Physics, 25: 2139-2147.
6. K. Demirkaya (2001), "Reduction of noise and image artifacts in computed tomography by nonlinear filtration of the projection images", SPIE Medical Imaging, 4322: 917-923.
7. H. Lu, Z. Liang, D. Chen, and et al. (2001), "A combined transformation of ordering SPECT sinograms for signal extraction from measurements with Poisson noise", SPIE Medical Imaging, 4322: 943-951.
8. H. Lu, I. Hsiao, X. Li and Z. Liang (2001), "Spatial resolution uniformity of K-L transform on projection data along different directions for SPECT imaging", Journal of Nuclear Medicine, 42: 200P.
9. H. Lu, I-T. Hsiao, X. Li, and Z. Liang (2001), "Noise properties of low-dose CT projections and noise treatment by scale transformations", Conference Record of IEEE NSS and MIC, in CD-ROM.
10. H Lu, Z. Liang, D. Chen, and et al. (2001), "A combined transformation of ordering SPECT sinograms for signal extraction from measurements with Poisson noise", SPIE Medical Imaging, 4322: 1431-1438.
11. H. Lu, X. Li, I-T. Hsiao, and Z. Liang (2002), "Analytical treatment of noise for low-dose CT projection data by penalized weighted least-square smoothing in the K-L domain", SPIE Medical Imaging, 4682: 146-152.
12. J.A. Fessler (1994), "Penalized weighted least-squares image reconstruction for positron emission tomography", IEEE Trans. Med. Imaging, 13: 290-300.
13. J.A. Fessler (1993), "Tomographic reconstruction using information-weighted spline smoothing", in Info. Proc. In Med. Imag., H.H. Barrett and A.F.Gmitro, Eds. Heidelberg: Spring-Verlag, pp.372-386.
14. J.A. Fessler, and W.L. Rogers (1996), "Spatial resolution properties of penalized-likelihood image reconstruction: space-invariant tomographs", IEEE Trans. Image Processing, 5: 1346-1358.
15. J.A. Fessler (1991), "Nonparametric fixed-interval smoothing with vector splines", IEEE Trans. Sig. Proc., 39: 852-859.
16. P.J. La Rivière and Xiaochuan Pan (2000), "Nonparametric regression sinogram smoothing using a roughness-penalized Poisson likelihood objective function", IEEE Trans. Med. Imaging, 19: 773-786.
17. B.R. Hunt, and O. Kübler (1984), "Karhunen-Loeve multi-spectral image restoration, part I: theory", IEEE Trans. Acoustics, Speech, and Signal Processing, ASSP-32: 592-600.
18. J.B. Lee, A.S. Woodyatt, and M. Berman (1990), "Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform", IEEE Trans. Geosci. Remote Sensing, 28: 295-304.
19. M.N. Wernick, E.J. Infusino, and C.M. Kao (1997), "Fast optimal pre-reconstruction filters for dynamic PET", Conference Record of the IEEE NSS and MIC, in CD-ROM.
20. M.N. Wernick, E.J. Infusino, and M. Milosevic (1999), "Fast Spatio-temporal image reconstruction for dynamic PET", IEEE Trans. Med. Imaging, 18: 185-195.
21. V. Aurich and J. Weule (1995), "Non-linear Gaussian filters performing edge preserving diffusion", in Proceedings 17. DAGM Symposium über Mustererkennung, pp. 538-545, Springer.
22. C-K. Chu, I.K. Glad, F. Godtliebsen, and et al. (1998), "Edge-preserving smoothers for image processing", J. of the American Statistical Association, 93(442): 526-541.
23. K. Kitamura, H. Iida, M. Shidahara, and et al. (2000), "Noise reduction in PET attenuation correction using non-linear Gaussian filters", IEEE Trans. Nucl. Science, 47(3): 994-999.
24. P. Perona and J. Malik (1990), "Scale-space and edge detection using anisotropic diffusion", IEEE Trans. Pattern Anal. And Machine Intelligence, 12(7): 629-639.
25. J. Polzehl and V.G. Spokoiny (2000), "Adaptive weights smoothing with applications to image restoration", J. R. Statist. Soc. B, 62, Part2: 335-354.
26. H. Rue, C-K. Chu, F. Godtliebsen, and et al. (2002), "M-smoother with local linear fit", Journal of Nonparametric Statistics, 14: 155-168.
27. G. Winkler, V. Aurich, K. Hahn, and et al. (1999), "Noise reduction in images: some recent edge-preserving methods", Pattern Recognition and Image Analysis, 9(4): 749-766.
28. Y-L. You, W. Xu, A. Tannenbaum, and et al. (1996), "Behavioral analysis of anisotropic diffusion in image processing", IEEE Trans. Image Processing, 5(11): 1539-1551.
29. D.F. Yu and J.A. Fessler (2000), "Three-dimensional non-local edge-preserving regularization for PET transmission reconstruction", Conference Record of the IEEE NSS and MIC, in CD-ROM.ny1